453625
2
Joaquin Vanschoren
4601
Supervised Classification
predictive_accuracy
1199
weka.ADTree(4)
2069
weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1
B
10
1199
E
-3
1199
S
1
1199
weka
weka_3.7.12
1043
ada_agnostic
https://www.openml.org/data/download/53926/ada_agnostic.arff
-1
1591801
description
https://api.openml.org/data/download/1591801/weka_generated_run5603779103230783281.xml
-1
1591804
model_readable
https://api.openml.org/data/download/1591804/WekaModel_weka.classifiers.trees.ADTree8899690878578424618.model
-1
1591803
model_serialized
https://api.openml.org/data/download/1591803/WekaSerialized_weka.classifiers.trees.ADTree1720559435403725769.model
-1
1591802
predictions
https://api.openml.org/data/download/1591802/weka_generated_predictions4563325452885249729.arff
area_under_roc_curve
0.885973 [0.885973,0.885973]
average_cost
0
f_measure
0.83667 [0.898867,0.648211]
kappa
0.548684
kb_relative_information_score
10115.392506
mean_absolute_error
0.282294
mean_prior_absolute_error
0.373185
number_of_instances
45620 [34300,11320]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.83586 [0.871004,0.729371]
predictive_accuracy
0.842898
prior_entropy
0.808488
recall
0.842898 [0.928571,0.583304]
relative_absolute_error
0.756443
root_mean_prior_squared_error
0.431932
root_mean_squared_error
0.345033
root_relative_squared_error
0.798813
scimark_benchmark
901.624298 [558.1570048, 1014.1868590421574, 482.14720472367435, 907.3865832622575, 1546.2438372196054]
total_cost
0
usercpu_time_millis
1540
usercpu_time_millis_testing
10
usercpu_time_millis_training
1530
area_under_roc_curve
0.871618 [0.871618,0.871618]
area_under_roc_curve
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0.846542 [0.846542,0.846542]
area_under_roc_curve
0.877487 [0.877487,0.877487]
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.866375 [0.866375,0.866375]
area_under_roc_curve
0.88929 [0.88929,0.88929]
area_under_roc_curve
0.886924 [0.886924,0.886924]
area_under_roc_curve
0.876835 [0.876835,0.876835]
area_under_roc_curve
0.864651 [0.864651,0.864651]
area_under_roc_curve
0.911388 [0.911388,0.911388]
area_under_roc_curve
0.898385 [0.898385,0.898385]
area_under_roc_curve
0.898424 [0.898424,0.898424]
area_under_roc_curve
0.893393 [0.893393,0.893393]
area_under_roc_curve
0.879138 [0.879138,0.879138]
area_under_roc_curve
0.883988 [0.883988,0.883988]
area_under_roc_curve
0.880234 [0.880234,0.880234]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.868276 [0.868276,0.868276]
area_under_roc_curve
0.878248 [0.878248,0.878248]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.880544 [0.880544,0.880544]
area_under_roc_curve
0.893212 [0.893212,0.893212]
area_under_roc_curve
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area_under_roc_curve
0.905261 [0.905261,0.905261]
area_under_roc_curve
0.899288 [0.899288,0.899288]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.908512 [0.908512,0.908512]
area_under_roc_curve
0.894154 [0.894154,0.894154]
area_under_roc_curve
0.8759 [0.8759,0.8759]
area_under_roc_curve
0.876584 [0.876584,0.876584]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.886272 [0.886272,0.886272]
area_under_roc_curve
0.887033 [0.887033,0.887033]
area_under_roc_curve
0.879112 [0.879112,0.879112]
area_under_roc_curve
0.885885 [0.885885,0.885885]
area_under_roc_curve
0.892631 [0.892631,0.892631]
area_under_roc_curve
0.893702 [0.893702,0.893702]
area_under_roc_curve
0.892644 [0.892644,0.892644]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.888813 [0.888813,0.888813]
area_under_roc_curve
0.893522 [0.893522,0.893522]
area_under_roc_curve
0.866766 [0.866766,0.866766]
area_under_roc_curve
0.902771 [0.902771,0.902771]
area_under_roc_curve
0.888349 [0.888349,0.888349]
area_under_roc_curve
0.877822 [0.877822,0.877822]
area_under_roc_curve
0.893676 [0.893676,0.893676]
area_under_roc_curve
0.887897 [0.887897,0.887897]
area_under_roc_curve
0.875797 [0.875797,0.875797]
area_under_roc_curve
0.8606 [0.8606,0.8606]
area_under_roc_curve
0.879989 [0.879989,0.879989]
area_under_roc_curve
0.877074 [0.877074,0.877074]
area_under_roc_curve
0.866986 [0.866986,0.866986]
area_under_roc_curve
0.882221 [0.882221,0.882221]
area_under_roc_curve
0.902307 [0.902307,0.902307]
area_under_roc_curve
0.915065 [0.915065,0.915065]
area_under_roc_curve
0.88613 [0.88613,0.88613]
area_under_roc_curve
0.879938 [0.879938,0.879938]
area_under_roc_curve
0.908176 [0.908176,0.908176]
area_under_roc_curve
0.884504 [0.884504,0.884504]
area_under_roc_curve
0.88364 [0.88364,0.88364]
area_under_roc_curve
0.905751 [0.905751,0.905751]
area_under_roc_curve
0.925914 [0.925914,0.925914]
area_under_roc_curve
0.900617 [0.900617,0.900617]
area_under_roc_curve
0.89405 [0.89405,0.89405]
area_under_roc_curve
0.897804 [0.897804,0.897804]
area_under_roc_curve
0.873526 [0.873526,0.873526]
area_under_roc_curve
0.889032 [0.889032,0.889032]
area_under_roc_curve
0.87341 [0.87341,0.87341]
average_cost
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average_cost
0
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0
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0
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f_measure
0.844966 [0.904225,0.666667]
f_measure
0.860253 [0.911932,0.704762]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.831259 [0.893314,0.64455]
f_measure
0.83553 [0.903315,0.631579]
f_measure
0.810125 [0.887967,0.575916]
f_measure
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f_measure
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f_measure
0.835774 [0.900976,0.639594]
f_measure
0.820932 [0.88826,0.618357]
f_measure
0.841028 [0.90113,0.660194]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.84713 [0.905501,0.669951]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.83344 [0.897038,0.640394]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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106.83057
kb_relative_information_score
111.632332
kb_relative_information_score
107.792685
kb_relative_information_score
124.495571
kb_relative_information_score
108.676872
kb_relative_information_score
89.62775
kb_relative_information_score
90.074422
kb_relative_information_score
104.370648
kb_relative_information_score
81.87282
kb_relative_information_score
85.027152
kb_relative_information_score
105.766748
kb_relative_information_score
108.154998
kb_relative_information_score
105.814403
kb_relative_information_score
85.454618
kb_relative_information_score
105.501265
kb_relative_information_score
115.479263
kb_relative_information_score
104.16786
kb_relative_information_score
91.624576
kb_relative_information_score
118.138775
kb_relative_information_score
108.194915
kb_relative_information_score
100.433585
kb_relative_information_score
102.188632
kb_relative_information_score
110.145162
kb_relative_information_score
99.466123
kb_relative_information_score
90.0296
kb_relative_information_score
95.109015
kb_relative_information_score
83.234465
kb_relative_information_score
106.313086
kb_relative_information_score
111.032988
kb_relative_information_score
106.005376
kb_relative_information_score
101.812658
kb_relative_information_score
103.914517
kb_relative_information_score
102.791991
kb_relative_information_score
78.618768
kb_relative_information_score
99.832676
kb_relative_information_score
92.224242
kb_relative_information_score
114.085503
kb_relative_information_score
106.162456
kb_relative_information_score
100.454678
kb_relative_information_score
102.307517
kb_relative_information_score
91.339345
kb_relative_information_score
91.810257
kb_relative_information_score
101.559703
kb_relative_information_score
95.274713
kb_relative_information_score
118.100838
kb_relative_information_score
83.235614
kb_relative_information_score
111.015373
kb_relative_information_score
103.710284
kb_relative_information_score
101.40848
kb_relative_information_score
96.488523
kb_relative_information_score
105.550977
kb_relative_information_score
79.444522
kb_relative_information_score
93.42292
kb_relative_information_score
103.731906
kb_relative_information_score
91.597042
kb_relative_information_score
88.641558
kb_relative_information_score
87.831953
kb_relative_information_score
114.600215
kb_relative_information_score
107.626948
kb_relative_information_score
102.843902
kb_relative_information_score
108.90176
kb_relative_information_score
110.144706
kb_relative_information_score
83.34498
kb_relative_information_score
106.343938
kb_relative_information_score
112.730513
kb_relative_information_score
121.421351
kb_relative_information_score
107.528343
kb_relative_information_score
106.391122
kb_relative_information_score
111.392522
kb_relative_information_score
98.492674
kb_relative_information_score
84.58541
kb_relative_information_score
94.719762
mean_absolute_error
0.283098
mean_absolute_error
0.279404
mean_absolute_error
0.295578
mean_absolute_error
0.277369
mean_absolute_error
0.283518
mean_absolute_error
0.292235
mean_absolute_error
0.285682
mean_absolute_error
0.289639
mean_absolute_error
0.2849
mean_absolute_error
0.28274
mean_absolute_error
0.283649
mean_absolute_error
0.282545
mean_absolute_error
0.289341
mean_absolute_error
0.277408
mean_absolute_error
0.272784
mean_absolute_error
0.278693
mean_absolute_error
0.283442
mean_absolute_error
0.281426
mean_absolute_error
0.279282
mean_absolute_error
0.285681
mean_absolute_error
0.282337
mean_absolute_error
0.277498
mean_absolute_error
0.281875
mean_absolute_error
0.276421
mean_absolute_error
0.284865
mean_absolute_error
0.290336
mean_absolute_error
0.289998
mean_absolute_error
0.277829
mean_absolute_error
0.277503
mean_absolute_error
0.277628
mean_absolute_error
0.275802
mean_absolute_error
0.268064
mean_absolute_error
0.276512
mean_absolute_error
0.289133
mean_absolute_error
0.289537
mean_absolute_error
0.280551
mean_absolute_error
0.294359
mean_absolute_error
0.292885
mean_absolute_error
0.280236
mean_absolute_error
0.275405
mean_absolute_error
0.279469
mean_absolute_error
0.289085
mean_absolute_error
0.275836
mean_absolute_error
0.272301
mean_absolute_error
0.279687
mean_absolute_error
0.289583
mean_absolute_error
0.272619
mean_absolute_error
0.279403
mean_absolute_error
0.283743
mean_absolute_error
0.283327
mean_absolute_error
0.277208
mean_absolute_error
0.28439
mean_absolute_error
0.288895
mean_absolute_error
0.287451
mean_absolute_error
0.287507
mean_absolute_error
0.279807
mean_absolute_error
0.276405
mean_absolute_error
0.275405
mean_absolute_error
0.280109
mean_absolute_error
0.279278
mean_absolute_error
0.280526
mean_absolute_error
0.296485
mean_absolute_error
0.281996
mean_absolute_error
0.286218
mean_absolute_error
0.273095
mean_absolute_error
0.276099
mean_absolute_error
0.280534
mean_absolute_error
0.283635
mean_absolute_error
0.288065
mean_absolute_error
0.287761
mean_absolute_error
0.282103
mean_absolute_error
0.284207
mean_absolute_error
0.27215
mean_absolute_error
0.29106
mean_absolute_error
0.278254
mean_absolute_error
0.278816
mean_absolute_error
0.281647
mean_absolute_error
0.285195
mean_absolute_error
0.279551
mean_absolute_error
0.295686
mean_absolute_error
0.285624
mean_absolute_error
0.277518
mean_absolute_error
0.286877
mean_absolute_error
0.291584
mean_absolute_error
0.292228
mean_absolute_error
0.27411
mean_absolute_error
0.27914
mean_absolute_error
0.279465
mean_absolute_error
0.277229
mean_absolute_error
0.276222
mean_absolute_error
0.295569
mean_absolute_error
0.279912
mean_absolute_error
0.275623
mean_absolute_error
0.268734
mean_absolute_error
0.28204
mean_absolute_error
0.277378
mean_absolute_error
0.275025
mean_absolute_error
0.284261
mean_absolute_error
0.293559
mean_absolute_error
0.285424
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373848
mean_prior_absolute_error
0.373019
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0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
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mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
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0.373019
mean_prior_absolute_error
0.373019
mean_prior_absolute_error
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0.373019
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.373019
mean_prior_absolute_error
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number_of_instances
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number_of_instances
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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456 [343,113]
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number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
number_of_instances
456 [343,113]
precision
0.844949 [0.874659,0.755556]
precision
0.859671 [0.889197,0.770833]
precision
0.820865 [0.861035,0.7]
precision
0.852326 [0.881868,0.763441]
precision
0.846985 [0.859008,0.810811]
precision
0.80747 [0.847594,0.686747]
precision
0.835892 [0.873278,0.723404]
precision
0.845104 [0.876712,0.75]
precision
0.805078 [0.859944,0.64]
precision
0.840132 [0.871935,0.744444]
precision
0.829518 [0.872222,0.701031]
precision
0.841107 [0.858268,0.789474]
precision
0.812195 [0.844737,0.714286]
precision
0.850567 [0.867374,0.8]
precision
0.83524 [0.859416,0.7625]
precision
0.837544 [0.863636,0.759036]
precision
0.819116 [0.862637,0.688172]
precision
0.840336 [0.873973,0.73913]
precision
0.833055 [0.855263,0.766234]
precision
0.833055 [0.855263,0.766234]
precision
0.821847 [0.851852,0.730769]
precision
0.857758 [0.893258,0.75]
precision
0.846942 [0.877049,0.755556]
precision
0.85656 [0.880435,0.784091]
precision
0.81768 [0.858696,0.693182]
precision
0.817059 [0.854839,0.702381]
precision
0.812086 [0.852151,0.690476]
precision
0.832516 [0.868852,0.722222]
precision
0.852382 [0.886111,0.75]
precision
0.822167 [0.848168,0.743243]
precision
0.844552 [0.887006,0.715686]
precision
0.847054 [0.868984,0.780488]
precision
0.844464 [0.874659,0.752809]
precision
0.814446 [0.852547,0.698795]
precision
0.830279 [0.868493,0.714286]
precision
0.842134 [0.874317,0.744444]
precision
0.825928 [0.867769,0.698925]
precision
0.835046 [0.885387,0.682243]
precision
0.839847 [0.873973,0.736264]
precision
0.849443 [0.905045,0.680672]
precision
0.85064 [0.887955,0.737374]
precision
0.797221 [0.858357,0.61165]
precision
0.831115 [0.872576,0.705263]
precision
0.829716 [0.864499,0.724138]
precision
0.839394 [0.882022,0.71]
precision
0.822031 [0.857527,0.714286]
precision
0.840927 [0.880223,0.721649]
precision
0.839431 [0.867925,0.752941]
precision
0.857053 [0.888889,0.760417]
precision
0.816727 [0.851064,0.7125]
precision
0.84304 [0.880556,0.729167]
precision
0.844464 [0.874659,0.752809]
precision
0.835063 [0.871233,0.725275]
precision
0.819448 [0.855228,0.710843]
precision
0.818091 [0.860656,0.688889]
precision
0.839574 [0.864,0.765432]
precision
0.84198 [0.872283,0.75]
precision
0.829752 [0.880342,0.67619]
precision
0.829591 [0.874302,0.693878]
precision
0.854348 [0.884298,0.763441]
precision
0.85477 [0.872,0.802469]
precision
0.826977 [0.871866,0.690722]
precision
0.854199 [0.882192,0.769231]
precision
0.839394 [0.882022,0.71]
precision
0.83949 [0.869919,0.747126]
precision
0.83681 [0.879552,0.707071]
precision
0.834221 [0.877095,0.704082]
precision
0.825496 [0.865753,0.703297]
precision
0.835063 [0.871233,0.725275]
precision
0.811531 [0.842932,0.716216]
precision
0.849298 [0.877384,0.764045]
precision
0.841974 [0.884507,0.712871]
precision
0.847315 [0.867021,0.7875]
precision
0.817335 [0.856757,0.697674]
precision
0.838542 [0.890173,0.681818]
precision
0.85064 [0.887955,0.737374]
precision
0.849264 [0.875339,0.770115]
precision
0.823685 [0.873239,0.673267]
precision
0.842217 [0.864362,0.775]
precision
0.81269 [0.87106,0.635514]
precision
0.820294 [0.861035,0.696629]
precision
0.827353 [0.841432,0.784615]
precision
0.809966 [0.868571,0.632075]
precision
0.826923 [0.856383,0.7375]
precision
0.835443 [0.881356,0.696078]
precision
0.861404 [0.887363,0.782609]
precision
0.857403 [0.899713,0.728972]
precision
0.85571 [0.868074,0.818182]
precision
0.83226 [0.866848,0.727273]
precision
0.863822 [0.889807,0.784946]
precision
0.834221 [0.877095,0.704082]
precision
0.837325 [0.871585,0.733333]
precision
0.859466 [0.876676,0.807229]
precision
0.861273 [0.900285,0.742857]
precision
0.854348 [0.884298,0.763441]
precision
0.83681 [0.879552,0.707071]
precision
0.860315 [0.872679,0.822785]
precision
0.851736 [0.875676,0.77907]
precision
0.827003 [0.860215,0.72619]
precision
0.840499 [0.878116,0.726316]
predictive_accuracy
0.851204
predictive_accuracy
0.864333
predictive_accuracy
0.829322
predictive_accuracy
0.857768
predictive_accuracy
0.851204
predictive_accuracy
0.818381
predictive_accuracy
0.842451
predictive_accuracy
0.851204
predictive_accuracy
0.811816
predictive_accuracy
0.846827
predictive_accuracy
0.835886
predictive_accuracy
0.846827
predictive_accuracy
0.822757
predictive_accuracy
0.85558
predictive_accuracy
0.842451
predictive_accuracy
0.844639
predictive_accuracy
0.827133
predictive_accuracy
0.846827
predictive_accuracy
0.840263
predictive_accuracy
0.840263
predictive_accuracy
0.83114
predictive_accuracy
0.861842
predictive_accuracy
0.85307
predictive_accuracy
0.861842
predictive_accuracy
0.826754
predictive_accuracy
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predictive_accuracy
0.822368
predictive_accuracy
0.839912
predictive_accuracy
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predictive_accuracy
0.83114
predictive_accuracy
0.848684
predictive_accuracy
0.85307
predictive_accuracy
0.850877
predictive_accuracy
0.824561
predictive_accuracy
0.837719
predictive_accuracy
0.848684
predictive_accuracy
0.833333
predictive_accuracy
0.837719
predictive_accuracy
0.846491
predictive_accuracy
0.846491
predictive_accuracy
0.855263
predictive_accuracy
0.802632
predictive_accuracy
0.837719
predictive_accuracy
0.837719
predictive_accuracy
0.844298
predictive_accuracy
0.83114
predictive_accuracy
0.846491
predictive_accuracy
0.846491
predictive_accuracy
0.861842
predictive_accuracy
0.826754
predictive_accuracy
0.848684
predictive_accuracy
0.850877
predictive_accuracy
0.842105
predictive_accuracy
0.828947
predictive_accuracy
0.826754
predictive_accuracy
0.846491
predictive_accuracy
0.848684
predictive_accuracy
0.833333
predictive_accuracy
0.835526
predictive_accuracy
0.859649
predictive_accuracy
0.859649
predictive_accuracy
0.833333
predictive_accuracy
0.859649
predictive_accuracy
0.844298
predictive_accuracy
0.846491
predictive_accuracy
0.842105
predictive_accuracy
0.839912
predictive_accuracy
0.833333
predictive_accuracy
0.842105
predictive_accuracy
0.822368
predictive_accuracy
0.855263
predictive_accuracy
0.846491
predictive_accuracy
0.85307
predictive_accuracy
0.826754
predictive_accuracy
0.839912
predictive_accuracy
0.855263
predictive_accuracy
0.855263
predictive_accuracy
0.828947
predictive_accuracy
0.848684
predictive_accuracy
0.815789
predictive_accuracy
0.828947
predictive_accuracy
0.833333
predictive_accuracy
0.813596
predictive_accuracy
0.835526
predictive_accuracy
0.839912
predictive_accuracy
0.866228
predictive_accuracy
0.859649
predictive_accuracy
0.859649
predictive_accuracy
0.839912
predictive_accuracy
0.868421
predictive_accuracy
0.839912
predictive_accuracy
0.844298
predictive_accuracy
0.864035
predictive_accuracy
0.864035
predictive_accuracy
0.859649
predictive_accuracy
0.842105
predictive_accuracy
0.864035
predictive_accuracy
0.857456
predictive_accuracy
0.835526
predictive_accuracy
0.846491
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
prior_entropy
0.808488
recall
0.851204 [0.93586,0.596491]
recall
0.864333 [0.93586,0.649123]
recall
0.829322 [0.921283,0.552632]
recall
0.857768 [0.93586,0.622807]
recall
0.851204 [0.959184,0.526316]
recall
0.818381 [0.924198,0.5]
recall
0.842451 [0.924198,0.596491]
recall
0.851204 [0.932945,0.605263]
recall
0.811816 [0.895044,0.561404]
recall
0.846827 [0.932945,0.587719]
recall
0.835886 [0.915452,0.596491]
recall
0.846827 [0.953353,0.526316]
recall
0.822757 [0.93586,0.482456]
recall
0.85558 [0.953353,0.561404]
recall
0.842451 [0.944606,0.535088]
recall
0.844639 [0.941691,0.552632]
recall
0.827133 [0.915452,0.561404]
recall
0.846827 [0.930029,0.596491]
recall
0.840263 [0.947522,0.517544]
recall
0.840263 [0.947522,0.517544]
recall
0.83114 [0.938776,0.504425]
recall
0.861842 [0.927114,0.663717]
recall
0.85307 [0.93586,0.60177]
recall
0.861842 [0.944606,0.610619]
recall
0.826754 [0.921283,0.539823]
recall
0.826754 [0.927114,0.522124]
recall
0.822368 [0.924198,0.513274]
recall
0.839912 [0.927114,0.575221]
recall
0.857456 [0.930029,0.637168]
recall
0.83114 [0.944606,0.486726]
recall
0.848684 [0.915452,0.646018]
recall
0.85307 [0.947522,0.566372]
recall
0.850877 [0.93586,0.59292]
recall
0.824561 [0.927114,0.513274]
recall
0.837719 [0.924198,0.575221]
recall
0.848684 [0.932945,0.59292]
recall
0.833333 [0.918367,0.575221]
recall
0.837719 [0.900875,0.646018]
recall
0.846491 [0.930029,0.59292]
recall
0.846491 [0.889213,0.716814]
recall
0.855263 [0.924198,0.646018]
recall
0.802632 [0.883382,0.557522]
recall
0.837719 [0.918367,0.59292]
recall
0.837719 [0.930029,0.557522]
recall
0.844298 [0.915452,0.628319]
recall
0.83114 [0.930029,0.530973]
recall
0.846491 [0.921283,0.619469]
recall
0.846491 [0.938776,0.566372]
recall
0.861842 [0.932945,0.646018]
recall
0.826754 [0.932945,0.504425]
recall
0.848684 [0.924198,0.619469]
recall
0.850877 [0.93586,0.59292]
recall
0.842105 [0.927114,0.584071]
recall
0.828947 [0.930029,0.522124]
recall
0.826754 [0.918367,0.548673]
recall
0.846491 [0.944606,0.548673]
recall
0.848684 [0.93586,0.584071]
recall
0.833333 [0.900875,0.628319]
recall
0.835526 [0.912536,0.60177]
recall
0.859649 [0.93586,0.628319]
recall
0.859649 [0.953353,0.575221]
recall
0.833333 [0.912536,0.59292]
recall
0.859649 [0.938776,0.619469]
recall
0.844298 [0.915452,0.628319]
recall
0.846491 [0.93586,0.575221]
recall
0.842105 [0.915452,0.619469]
recall
0.839912 [0.915452,0.610619]
recall
0.833333 [0.921283,0.566372]
recall
0.842105 [0.927114,0.584071]
recall
0.822368 [0.938776,0.469027]
recall
0.855263 [0.938776,0.60177]
recall
0.846491 [0.915452,0.637168]
recall
0.85307 [0.950437,0.557522]
recall
0.826754 [0.924198,0.530973]
recall
0.839912 [0.897959,0.663717]
recall
0.855263 [0.924198,0.646018]
recall
0.855263 [0.941691,0.59292]
recall
0.828947 [0.90379,0.60177]
recall
0.848684 [0.947522,0.548673]
recall
0.815789 [0.886297,0.60177]
recall
0.828947 [0.921283,0.548673]
recall
0.833333 [0.959184,0.451327]
recall
0.813596 [0.886297,0.59292]
recall
0.835526 [0.938776,0.522124]
recall
0.839912 [0.909621,0.628319]
recall
0.866228 [0.941691,0.637168]
recall
0.859649 [0.915452,0.690265]
recall
0.859649 [0.959184,0.557522]
recall
0.839912 [0.930029,0.566372]
recall
0.868421 [0.941691,0.646018]
recall
0.839912 [0.915452,0.610619]
recall
0.844298 [0.930029,0.584071]
recall
0.864035 [0.953353,0.59292]
recall
0.864035 [0.921283,0.690265]
recall
0.859649 [0.93586,0.628319]
recall
0.842105 [0.915452,0.619469]
recall
0.864035 [0.959184,0.575221]
recall
0.857456 [0.944606,0.59292]
recall
0.835526 [0.932945,0.539823]
recall
0.846491 [0.924198,0.610619]
relative_absolute_error
0.757255
relative_absolute_error
0.747374
relative_absolute_error
0.790637
relative_absolute_error
0.74193
relative_absolute_error
0.758377
relative_absolute_error
0.781693
relative_absolute_error
0.764166
relative_absolute_error
0.774751
relative_absolute_error
0.762074
relative_absolute_error
0.756296
relative_absolute_error
0.758728
relative_absolute_error
0.755775
relative_absolute_error
0.773953
relative_absolute_error
0.742035
relative_absolute_error
0.729666
relative_absolute_error
0.745472
relative_absolute_error
0.758175
relative_absolute_error
0.752782
relative_absolute_error
0.747047
relative_absolute_error
0.764164
relative_absolute_error
0.756896
relative_absolute_error
0.743923
relative_absolute_error
0.755659
relative_absolute_error
0.741037
relative_absolute_error
0.763674
relative_absolute_error
0.778341
relative_absolute_error
0.777434
relative_absolute_error
0.74481
relative_absolute_error
0.743937
relative_absolute_error
0.744272
relative_absolute_error
0.739376
relative_absolute_error
0.718633
relative_absolute_error
0.741281
relative_absolute_error
0.775115
relative_absolute_error
0.776198
relative_absolute_error
0.752108
relative_absolute_error
0.789124
relative_absolute_error
0.785174
relative_absolute_error
0.751265
relative_absolute_error
0.738313
relative_absolute_error
0.749209
relative_absolute_error
0.774987
relative_absolute_error
0.739468
relative_absolute_error
0.72999
relative_absolute_error
0.749793
relative_absolute_error
0.776321
relative_absolute_error
0.730843
relative_absolute_error
0.74903
relative_absolute_error
0.760665
relative_absolute_error
0.759552
relative_absolute_error
0.743146
relative_absolute_error
0.762401
relative_absolute_error
0.774478
relative_absolute_error
0.770606
relative_absolute_error
0.770755
relative_absolute_error
0.750115
relative_absolute_error
0.740994
relative_absolute_error
0.738312
relative_absolute_error
0.750923
relative_absolute_error
0.748695
relative_absolute_error
0.752041
relative_absolute_error
0.794825
relative_absolute_error
0.755983
relative_absolute_error
0.767302
relative_absolute_error
0.732119
relative_absolute_error
0.740172
relative_absolute_error
0.752063
relative_absolute_error
0.760376
relative_absolute_error
0.772253
relative_absolute_error
0.771436
relative_absolute_error
0.75627
relative_absolute_error
0.761908
relative_absolute_error
0.729588
relative_absolute_error
0.780281
relative_absolute_error
0.745951
relative_absolute_error
0.747457
relative_absolute_error
0.755047
relative_absolute_error
0.764559
relative_absolute_error
0.749428
relative_absolute_error
0.792684
relative_absolute_error
0.765707
relative_absolute_error
0.743978
relative_absolute_error
0.769067
relative_absolute_error
0.781686
relative_absolute_error
0.783412
relative_absolute_error
0.73484
relative_absolute_error
0.748326
relative_absolute_error
0.749197
relative_absolute_error
0.743202
relative_absolute_error
0.740502
relative_absolute_error
0.79237
relative_absolute_error
0.750396
relative_absolute_error
0.738897
relative_absolute_error
0.72043
relative_absolute_error
0.756101
relative_absolute_error
0.743602
relative_absolute_error
0.737295
relative_absolute_error
0.762055
relative_absolute_error
0.786979
relative_absolute_error
0.765172
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.432698
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_prior_squared_error
0.431739
root_mean_squared_error
0.349345
root_mean_squared_error
0.34174
root_mean_squared_error
0.353684
root_mean_squared_error
0.332022
root_mean_squared_error
0.345003
root_mean_squared_error
0.36231
root_mean_squared_error
0.348853
root_mean_squared_error
0.353234
root_mean_squared_error
0.351946
root_mean_squared_error
0.343067
root_mean_squared_error
0.343627
root_mean_squared_error
0.343586
root_mean_squared_error
0.348533
root_mean_squared_error
0.338794
root_mean_squared_error
0.342371
root_mean_squared_error
0.343249
root_mean_squared_error
0.352272
root_mean_squared_error
0.34368
root_mean_squared_error
0.343383
root_mean_squared_error
0.348948
root_mean_squared_error
0.350712
root_mean_squared_error
0.334927
root_mean_squared_error
0.340098
root_mean_squared_error
0.339898
root_mean_squared_error
0.347587
root_mean_squared_error
0.3507
root_mean_squared_error
0.350402
root_mean_squared_error
0.344274
root_mean_squared_error
0.343607
root_mean_squared_error
0.340359
root_mean_squared_error
0.338102
root_mean_squared_error
0.334306
root_mean_squared_error
0.341431
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